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Between-Class Adversarial Training for Improving Adversarial Robustness of Image Classification

Deep neural networks (DNNs) have been known to be vulnerable to adversarial attacks. Adversarial training (AT) is, so far, the only method that can guarantee the robustness of DNNs to adversarial attacks. However, the robustness generalization accuracy gain of AT is still far lower than the standard...

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Detalles Bibliográficos
Autores principales: Wang, Desheng, Jin, Weidong, Wu, Yunpu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057388/
https://www.ncbi.nlm.nih.gov/pubmed/36991962
http://dx.doi.org/10.3390/s23063252